Document Management Shadow Fields for User Metadata Patterns
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Solution Overview
Problem
Current document management systems face challenges in retrieving documents due to user-specific naming patterns, which lead to inefficiencies and difficulties in locating documents when users with unique metadata preferences leave the organization, as traditional SQL queries struggle to account for individual habits and preferences.
Innovation Solution
The system identifies and records user-specific naming patterns, modifying queries and metadata to accommodate different user entitlements and conventions, ensuring relevant documents are retrieved despite variations in naming habits, through the use of shadow fields and pattern recognition algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional SQL queries are used for document retrieval, then the system structure remains simple, but document retrieval efficiency deteriorates when users have unique metadata naming patterns
Solution Approach 1:
The patent introduces shadow fields as intermediary structures that store both standardized metadata and user-specific naming patterns. These shadow fields act as mediators between the simple SQL query interface and the complex reality of varied user metadata conventions, enabling efficient document retrieval without requiring complex query logic while maintaining system accessibility for users with different naming habits
Solution Approach 2:
The patent segments metadata storage into multiple layers: standard metadata fields for basic document information and shadow fields for user-specific naming patterns. This segmentation allows the system to maintain simple core structures while accommodating complex user variations, improving retrieval efficiency by organizing metadata in a hierarchical manner that can be queried at different levels of specificity
2Adaptability or versatility
If user-specific metadata patterns are accommodated, then document accessibility improves, but metadata normalization becomes more difficult
Solution Approach 1:
The patent adds an additional dimension to metadata storage by introducing shadow fields that parallel the standard metadata fields. This dimensional expansion allows the system to preserve both standardized metadata for normalization and user-specific naming patterns for accessibility, effectively solving the contradiction by operating in multiple metadata dimensions simultaneously rather than forcing a single-dimensional solution
3Stability of the object's composition
If standardized metadata fields are enforced, then metadata consistency improves, but user-specific naming preferences are lost
Solution Approach 1:
The patent applies local quality by allowing different metadata fields to serve different purposes: standard metadata fields maintain consistency and normalization for systematic organization, while shadow fields preserve user-specific naming patterns for individual user accessibility. This localized differentiation enables the system to optimize for both metadata consistency and user preference preservation in appropriate locations within the metadata structure
Data Source
AI summary
Document management techniques to account for user-specific patterns in document metadata are disclosed. In one embodiment, a method for facilitating document retrieval may comprise: assigning a first entitlement to a first user for accessing a first plurality of documents; identifying patterns in the first user's creation or modification of metadata related to the first plurality of documents; recording the identified patterns associated with the first user; receiving a document query from a second user who has been assigned a second entitlement to access a second plurality of documents; determining, based on the second entitlement, an access right of the second user with respect to the first plurality of documents; and modifying the document query based on the access right of the second user and the identified patterns, such that the document query returns relevant documents from the first plurality of documents despite the second user's ignorance of the identified patterns.